Image de couverture de livre

Navigating the Fragrance space Via Graph Generative Models And Predicting Odors

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sharma, Mrityunjay, Balaji, Sarabeshwar, Saha, Pinaki, Kumar, Ritesh
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Olfactory Label Prediction on Aroma-Chemical Pairs
par: Sisson, Laura, et autres
Publié: (2023)

An Explainable AI based approach for Monitoring Animal Health
par: Jana, Rahul, et autres
Publié: (2025)

Safe Multitask Molecular Graph Networks for Vapor Pressure and Odor Threshold Prediction
par: Wu, Shuang, et autres
Publié: (2026)

Molecule Generation and Optimization for Efficient Fragrance Creation
par: Rodrigues, Bruno C. L., et autres
Publié: (2024)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
par: Xie, HongXin, et autres
Publié: (2025)

Exploring Molecular Odor Taxonomies for Structure-based Odor Predictions using Machine Learning
par: Sajan, Akshay, et autres
Publié: (2025)

Mesh-based Super-resolution of Detonation Flows with Multiscale Graph Transformers
par: Barwey, Shivam, et autres
Publié: (2025)

Molecular Odor Prediction with Harmonic Modulated Feature Mapping and Chemically-Informed Loss
par: Xie, HongXin, et autres
Publié: (2025)

Time-Efficient Hybrid Hyperparameter Tuning Approach for Cardiovascular Disease Classification
par: Pathak, Abhay Kumar, et autres
Publié: (2024)

Generative Deep Learning Framework for Inverse Design of Fuels
par: Yalamanchi, Kiran K., et autres
Publié: (2025)

ALCo-FM: Adaptive Long-Context Foundation Model for Accident Prediction
par: Neogi, Pinaki Prasad Guha, et autres
Publié: (2025)

GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
par: Singh, Sukhdeep, et autres
Publié: (2024)

A Posteriori Evaluation of a Physics-Constrained Neural Ordinary Differential Equations Approach Coupled with CFD Solver for Modeling Stiff Chemical Kinetics
par: Kumar, Tadbhagya, et autres
Publié: (2023)

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
par: Xie, Hong Xin, et autres
Publié: (2025)

Similarity-Navigated Conformal Prediction for Graph Neural Networks
par: Song, Jianqing, et autres
Publié: (2024)

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
par: Dongre, Shyam, et autres
Publié: (2024)

Detection of Odor Presence via Deep Neural Networks
par: Hassanloo, Matin, et autres
Publié: (2025)

MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
par: Song, Ying, et autres
Publié: (2024)

GraphToxin: Reconstructing Full Unlearned Graphs from Graph Unlearning
par: Song, Ying, et autres
Publié: (2025)

Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
par: Kumar, Shashi Shekhar, et autres
Publié: (2024)

From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning
par: Dutta, Mintu, et autres
Publié: (2026)

Temporal Encoding Strategies for Energy Time Series Prediction
par: Bansal, Aayam, et autres
Publié: (2025)

CMLFormer: A Dual Decoder Transformer with Switching Point Learning for Code-Mixed Language Modeling
par: Baral, Aditeya, et autres
Publié: (2025)

Slithering Through Gaps: Capturing Discrete Isolated Modes via Logistic Bridging
par: Mohanty, Pinaki, et autres
Publié: (2026)

DGSSM: Diffusion guided state-space models for multimodal salient object detection
par: Ghosh, Suklav, et autres
Publié: (2026)

RNN-Based Models for Predicting Seizure Onset in Epileptic Patients
par: Mounagurusamy, Mathan Kumar, et autres
Publié: (2024)

Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data
par: Mehta, Ritesh, et autres
Publié: (2024)

SurF: A Generative Model for Multivariate Irregular Time Series Forecasting
par: Rezaei, Mohammad R., et autres
Publié: (2026)

A Unified Generative-Predictive Framework for Deterministic Inverse Design
par: Batley, Reza T., et autres
Publié: (2025)

Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment
par: Ingole, Balaji Shesharao, et autres
Publié: (2024)

QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
par: Challa, Aditya, et autres
Publié: (2023)

Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
par: Liu, Haolan, et autres
Publié: (2023)

BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network
par: Dachille, Justin, et autres
Publié: (2026)

Taipan: A Query-free Transfer-based Multiple Sensitive Attribute Inference Attack Solely from Publicly Released Graphs
par: Song, Ying, et autres
Publié: (2026)

Generalization Bound for Diffusion Models using Random Features
par: Saha, Esha, et autres
Publié: (2023)

Functional Groups are All you Need for Chemically Interpretable Molecular Property Prediction
par: Balaji, Roshan, et autres
Publié: (2025)

Fraud Detection System for Banking Transactions
par: Batsyas, Ranya, et autres
Publié: (2026)

GENIE: Watermarking Graph Neural Networks for Link Prediction
par: Bachina, Venkata Sai Pranav, et autres
Publié: (2024)

Entropy-Guided Sampling of Flat Modes in Discrete Spaces
par: Mohanty, Pinaki, et autres
Publié: (2025)

Krait: A Backdoor Attack Against Graph Prompt Tuning
par: Song, Ying, et autres
Publié: (2024)